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thereafter. This advert might close once a suitable candidate is found. Please apply as soon as possible to avoid disappointment. Further Information: The University of Edinburgh is committed to equality
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at the University of Edinburgh, and co-advised with Dr Farid Shahandeh at the Royal Halloway University of London on a project titled “Resource frameworks for secure quantum computing and quantum
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Deadline: 19th April 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
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Deadline: 31st March 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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One fully funded PhD position is available at the University of Edinburgh specifically within the theme of Quantum Computing. You will be based in the School of Informatics, with supervision from
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Deadline: 15th March 2024 (or until position is filled) One fully funded, full-time PhD position to work with Dr. Jingjie Li in the School of Informatics, The University of Edinburgh, on a project
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studentship. The successful international candidate will be registered with University of Edinburgh for the four years, during which time Edinburgh will generously cover international tuition fees. This means
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2 High Performance Computing (HPC) facilities such as ARCHER2 and Cirrus to facilitate your research. The ideal candidate should have an interest in fluid dynamics, analytical/mathematical modelling
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PhD Studentship - Physics-based Mathematical Modelling of Water Electrolyzer for Hydrogen Production
physics-based mathematical model of a water electrolyser for hydrogen production that operates on the dynamic electric supply simulating renewable electricity generation (such as offshore wind). The model